apollon.som.datasets module

apollon/som/datasets.py

Licensed under the terms of the BSD-3-Clause license. Copyright (C) 2019 Michael Blaß mblass@posteo.net

Function for generating test and illustration data sets.

apollon.som.datasets.norm_circle(n_classes: int, n_per_class: int, class_std: int, center: Tuple[int, int] = (0, 0), radius: int = 5, seed: Optional[int] = None)

Generate n_per_class samples from n_classes bivariate normal distributions, each with standard deviation class_std. The means are equidistantly placed on a circle with radius radius.

Parameters

  • n_classes – Number of classes.

  • n_per_class – Number of samples in each class.

  • class_std – Standard deviation for every class.

  • center – Center of ther circle.

  • radius – Radius of the circle on which the means are placed.

  • seed – Set the random seed.

Returns

Data set and target vector.